An empirical study of problems and evaluation of IoT malware classification label sources

Published: 01 Jan 2024, Last Modified: 13 May 2024J. King Saud Univ. Comput. Inf. Sci. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Present an empirical study on the quality and sources of labels for IoT malware.•Investigate the issues with IoT malware labels and potential causes.•Analyse malware labels and survey dataset label sources for future research use.•Build an IoT malware dataset and assess label sources at family and variant levels.
Loading